The generalized dice similarity measures for bipolar complex fuzzy set and its applications to pattern recognition and medical diagnosis

Rehman, Ubaid ur; Mahmood, Tahir

doi:10.1007/s40314-022-01948-6

Cited by 20 publications

(4 citation statements)

References 40 publications

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“…Mahmood et al [52] studied Aczel-Alsina AOs, and Mahmood et al [53] studied AOs based on BCFS. Ur Rehman and Mahmood [54] utilized the notion of BCFS in medical diagnosis and pattern recognition. Mahmood and Ur Rehman [55] invented Dombi AOs.…”

Section: A Literature Reviewmentioning

confidence: 99%

Decision-Making Approach Based on Bipolar Complex Fuzzy Uncertain Linguistic Aggregation Operators

Mahmood,

Rehman,

Emam

et al. 2024

IEEE Access

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There are many computer vision technologies available, each having advantages and disadvantages of its own. Effective visual data analysis requires choosing the best technology and giving its deployment top priority. A strong framework for decision-making (DM) is required, one that can manage the ambiguities, imprecision, dual aspects, and linguistic terms present in real-world computer vision applications. Thus, in this script, we investigate the DM framework under the structure of a bipolar complex fuzzy uncertain linguistic set (BCFULS). The theory of BCFULS is also devised in this manuscript, which can model the data that contains ambiguities, extra fuzzy information, dual aspects, and linguistic terms simultaneously. For this DM framework, we inaugurate averaging/geometric aggregation operators (AOs) within the structure of BCFULS and analyze the related properties. After that, we employ the inaugurated DM framework to prioritize the numerous types of computer vision by considering artificial data and achieve that "Feature Matching" is the finest computer vision. Finally, this script contains a comparative analysis of this work with numerous current works to depict the supremacy and advantages of the invented work.

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Section: A Literature Reviewmentioning

confidence: 99%

Decision-Making Approach Based on Bipolar Complex Fuzzy Uncertain Linguistic Aggregation Operators

Mahmood,

Rehman,

Emam

et al. 2024

IEEE Access

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“…The authors Akram and Waseem [28] looked at decision-making issues in a bipolar fuzzy graph framework, and they remarked that projects like diesel power plants and fuel pumps require multipolar data. In response, they brought forward M-polar (mF) fuzzy sets, which were first suggested by Chen et al [29] to expand upon BFS [30] , [31] , [32] . Afterwards, m-polar fuzzy sets were used in certain areas including graph theory, group theory, Lie algebras, and BCK/BCI algebras [33] , [34] , [35] .…”

Section: Introductionmentioning

confidence: 99%

Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach

Jana,

Hezam

2024

Heliyon

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“…In the notion of BCFS, there is a positive degree of belonging which is placed in the first quadrant of a complex plane's unit square, and a negative degree of belonging which is placed in 3 rd quadrant of a complex plane's unit square of each element. Rehman and Mahmood [36] employed the notion of BCFS in pattern recognition and medical diagnosis. Mahmood and Rehman [37] discussed Dombi AOs within the bipolar complex fuzzy (BCF) set.…”

Section: Introductionmentioning

confidence: 99%

Selection of Software Development Methodology by Employing a Multi-Criteria Decision-Making Approach Based on Logarithmic Bipolar Complex Fuzzy Aggregation Operators

Song,

Mahmood,

Rehman

2024

IEEE Access

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Numerous factors, including project complexity, team size, customer collaboration, and development pace, must be taken into consideration while choosing a software development methodology. This problem is a multi-criteria decision-making dilemma since the many criteria frequently fight with one another and fluctuate in priority. To systematically select the best methodology, the multi-criteria decisionmaking technique assists in quantifying and assessing these factors. This ensures that decisions are made in a fair and informed manner within the context of the challenging software development environment. Thus, in this article, we develop a multi-criteria decision-making approach in the setting of bipolar complex fuzzy information for the prioritization and selection of optimal software development methodology. For this, we first, invent logarithmic operational laws and associated results for the bipolar complex fuzzy set. Then, we invent four aggregation operators by utilizing these logarithmic operational laws under the structure of bipolar complex fuzzy information, that is, logarithmic bipolar complex fuzzy weighted averaging, logarithmic bipolar complex fuzzy ordered weighted averaging, logarithmic bipolar complex fuzzy weighted geometric, and logarithmic bipolar complex fuzzy ordered weighted geometric. After that, we solve a multi-criteria decision-making dilemma related to the prioritization and selection of software development methodology by considering the artificial data in the setting of bipolar complex fuzzy information and achieve that "Agile" is the optimal software development methodology among the considered four different software development methodologies, i.e., Waterfall, DevOps, Spiral, and Agile. In the last, we investigate the comparison study of the deduced theory to a few current theories to reveal the importance and supremacy of the constructed theory.INDEX TERMS Software development methodology; logarithmic operations; bipolar complex fuzzy set; MCDM.

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The generalized dice similarity measures for bipolar complex fuzzy set and its applications to pattern recognition and medical diagnosis

Cited by 20 publications

References 40 publications

Decision-Making Approach Based on Bipolar Complex Fuzzy Uncertain Linguistic Aggregation Operators

Decision-Making Approach Based on Bipolar Complex Fuzzy Uncertain Linguistic Aggregation Operators

Multi-attribute group decision making method for sponge iron factory location selection problem using multi-polar fuzzy EDAS approach

Selection of Software Development Methodology by Employing a Multi-Criteria Decision-Making Approach Based on Logarithmic Bipolar Complex Fuzzy Aggregation Operators

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